Analysis Dengue Fever and Malaria Cases using Generalized Multivariate Conditional Autoregressive Model

Abstract

An important topic in epidemiology is dengue fever. This disease is a mosquito-borne infection found in tropical and sub-tropical regions around the world. Another disease infected by mosquito is malaria. The developed methods still offer a lack information how to accommodate a cross correlation between two diseases for different cities. Hence we will provide a natural framework involving a cross correlation for multivariate spatial effect,i.e generalized multivariate conditional autoregressive model (GMCAR). We also focus on analysing the number of infected cases for two diseases in East Java Indonesia as the response variables. Therefore, in this paper we will propose a multivariate count data modelling with GMCAR to analyse the data. The result shows that the proposed model provides a better performance compare a model without cross correlation.